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keshava's Projects

aws-security-assessment-solution icon aws-security-assessment-solution

An AWS tool to help you create a point in time assessment of your AWS account using Prowler and Scout as well as optional AWS developed ransomware checks.

aws-serverless-airline-booking icon aws-serverless-airline-booking

Airline Booking is a sample web application that provides Flight Search, Flight Payment, Flight Booking and Loyalty points including end-to-end testing, GraphQL and CI/CD. This web application was the theme of Build on Serverless Season 2 on AWS Twitch running from April 24th until end of August in 2019.

az300 icon az300

Study Notes for the AZ-300 exam

azure-content icon azure-content

Please Contribute to Microsoft Official Repository https://github.com/MicrosoftDocs/azure-docs

azurehpc icon azurehpc

This repository provides easy automation scripts for building a HPC environment in Azure. It also includes examples to build e2e environment and run some of the key HPC benchmarks and applications.

azureoptimizationengine icon azureoptimizationengine

The Azure Optimization Engine is an extensible solution designed to generate optimization recommendations for your Azure environment. See it like a fully customizable Azure Advisor.

balsam icon balsam

High throughput workflows and automation for HPC

barometer icon barometer

Mirror of the OPNFV Barometer Project https://wiki.opnfv.org/display/fastpath/

bayesian-belief-networks icon bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

bayesianat icon bayesianat

The BayesianAT software can be used to estimate a single greenhouse gas emission rate from a known point source (or sources), using a Bayesian inversion approach. This repository contains a curated dataset from the 2015 Ginninderra controlled-release experiment, and accompanying scripts required to reproduce results presented in "Bayesian atmospheric tomography for detection and quantification of methane emissions: Application to data from the 2015 Ginninderra release experiment", by Laura Cartwright, Andrew Zammit-Mangion, Sangeeta Bhatia, Ivan Schroder, Frances Phillips, Trevor Coates, Karita Neghandhi, Travis Naylor, Martin Kennedy, Steve Zegelin, Nick Wokker, Nicholas M. Deutscher, and Andrew Feitz.

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